Agent-driven buying is here: How the evolution of the buyer journey is changing e-commerce?

For years, e‑commerce optimization has meant steering people: fine‑tuning the search box, product images, shopping cart colors, pop‑ups. That work won’t disappear, but a bigger question has emerged alongside it: how will an AI agent operate there?

We call it agentic buying when purchasing power is given to a machine. In the United States this is already commonplace, but in Europe we are lagging behind, and that’s exactly why now is the time to build an advantage. If the leadership team still looks at e-commerce only through the traditional funnel, it’s worth asking: are we still optimising the shop for a person who is about to hand the purchase decision over to a machine?

The traditional buying journey is collapsing

A linear funnel – awareness, consideration, decision, purchase – compresses into a single execution when the machine does the background work in seconds. In practice it looks like this:

Search for black running shoes in size 43, good pronation support, under €150, delivery tomorrow to the nearest parcel locker. Buy them.

A person’s 20-minute comparison and form-filling hassle shrinks into a couple of seconds for the agent: search, compare, choose and buy. At the same time, conversion-optimization rules are being rewritten. When the buyer is a machine, the focus shifts from visuals to data:

Traditional e-commerce (for humans)	Agentic e-commerce (for machines)
Banners, pop-ups, and visuals guide the buyer	Structured product data and APIs are key
SEO attracts humans to click through to the site	The agent extracts the product directly from the data
The customer fills out forms and checkout steps	The agent handles payment and ordering on your behalf
The homepage and design drive sales	Product data quality and brand awareness drive sales

The scale is large, though estimates vary. Bain estimates that by 2030 agent-driven purchasing could account for up to 25% of US e-commerce. According to Morgan Stanley, nearly half of US online shoppers will be using AI agents by then. McKinsey estimates agents could channel $3–5 trillion in global consumer spending.

The trend is already visible in search: about 60% of Google searches already end without a click to any site (59.7% in Europe). Being found no longer means a person clicks through to you; it means the machine picks you up.

Algorithmic invisibility is a new risk

This matter should be raised with the executive team.

A buying agent during comparison doesn’t look at fancy design, videos or brand visuals. It reads structured data: product details, prices, availability and delivery terms via APIs and machine-readable formats. If your e-commerce technical setup and product data are incomplete, the sale is invisible to the agent.

This is called algorithmic invisibility. You can invest heavily in traditional marketing, but if your product isn’t picked up at the moment of comparison, you’re out of the game. The agent recommends your competitor – not because your product is worse, but because it couldn’t read your data.

Your brand is your new shield

Here’s some good news too. Buying through agencies doesn’t mean the end of creativity or your brand — quite the opposite.

When open standards, like Agentic Commerce Protocol (ACP) and Universal Commerce Protocol (UCP), align technical fluency and narrow price differences, what sets you apart? Your brand.

After all, an agent does not operate in a vacuum. It follows the constraints that a human gives it. The same buyer can add a condition to the earlier request:

”Buy those running shoes, but support local stores.”

“Search for a coffee maker, but only brand X.”

This is where the brand matters. Emotional connection, trust and awareness are things algorithms can’t copy or bypass; they determine which provider a customer asks their agent to favor. Brand investments still pay off. They just need to be tied to technical readiness so the brand promise is delivered where agents buy.

What does this mean now?

In the era of agent-based buying, the market is being rapidly reshaped, and those who react first build the lead. It doesn’t require reinventing the whole business — just getting three things right:

1. Product data (PIM): Enriched, up-to-date product information that machines understand in context and detail. This is the foundation to start with.
2. Platform interfaces (machine UX): Does your platform support machine-to-machine communication? WooCommerce and Shopify are well positioned because they are API-driven and involved in early standards.
3. Clarifying the brand: A clear promise and a recognizable brand that clients want their agency to champion.

This is exactly the kind of change we exist for: complex, technically demanding and significant for the business. We build online stores where product data, architecture and brand work together — not for technology’s sake, but because they solve the real business problem.

Get a head start in a new market. Let’s build an online store together that’s ready for what’s next – contact our experts!